Google Analytics

What is Google Analytics?

Google Analytics is Google’s free web analytics platform that tracks user behavior on websites and apps. As of 2025, GA4 is deployed on more than 28 million websites — a market share larger than all competing analytics tools combined. The platform moved from Universal Analytics (UA) to GA4 in July 2023 when Google stopped processing UA data; Google deleted all historical UA data in December 2023.

GA4 uses an event-based data model where every user interaction — a pageview, scroll, click, form submission, purchase — is recorded as an event with associated parameters. This replaces UA’s session-based model and makes GA4 more flexible for custom tracking, though significantly more complex to configure for standard reports.

Google Analytics earns its core rating in the 80/20 of analytics tools — it is the automatic first choice for any website running Google Ads and the default for sites where cost is the primary constraint.

How does Google Analytics work?

GA4 operates on three systems: data collection via the tracking tag, data processing and storage in Google’s infrastructure, and data access through the reporting interface and BigQuery. Understanding all three explains both the platform’s power and its compliance complexity.

Data collection and the GA4 tag

A small JavaScript snippet placed on every page sends event data to Google’s servers when users interact with the site. The basic tag automatically captures pageviews, scroll depth, outbound link clicks, file downloads, video engagement, and site search. Google Tag Manager is the standard tool for managing the GA4 tag without developer involvement — it handles when and how events fire without modifying site code.

Custom events track any additional behavior: button clicks, form starts, checkout steps, feature engagement in web apps. GA4 parameters add context to events — a “purchase” event carries parameters for revenue, product name, and quantity. This event-plus-parameter model makes GA4 more flexible than UA but requires more intentional configuration to produce useful reports.

Integration with Google Ads and Search Console

The Google Ads integration is Google Analytics’ decisive competitive advantage. When a GA4 property links to a Google Ads account, conversion data flows between the two products automatically. Marketers see which ad campaigns, ad groups, and keywords drive purchases, leads, or other conversion events — without any additional configuration or third-party connection.

Google Search Console integration adds organic search data — queries, impressions, clicks, and average position — directly inside GA4. This connects paid and organic performance data in one interface, which Plausible and Fathom Analytics cannot replicate without third-party connectors.

BigQuery export and raw data access

GA4’s BigQuery export streams raw event-level data to Google BigQuery in near real time. Technical teams write SQL queries directly on the raw event table — filtering by user IDs, analyzing conversion paths, building attribution models, and joining GA4 data with CRM or product databases.

No other free analytics platform provides this level of raw data access. The BigQuery export is available on the standard free GA4 tier, with BigQuery storage costs charged separately (typically $0.02 per GB per month for stored data).

How does Google Analytics compare to Plausible and Fathom?

Google Analytics wins on depth, integrations, and cost. Plausible and Fathom Analytics win on simplicity, privacy compliance, and setup speed. The right choice depends on whether attribution depth or privacy-first simplicity is the higher priority.

Attribute	Google Analytics	Plausible	Fathom Analytics
Cost	Free	$9/month+	$14/month+
Data model	Event-based, complex	Pageview-based, simple	Pageview-based, simple
GDPR compliance	Requires configuration	Compliant by default	Compliant by default
Google Ads integration	Native	None	None
BigQuery export	Available	Not available	Not available
Setup time	2–4 hours for full config	10 minutes	10 minutes
Interface complexity	High — reports require training	Low	Low
Cookie consent required	Yes (EU)	No	No
Data ownership	Google’s servers	EU servers, exportable	EU servers, exportable

“Google Analytics is the right choice when you’re spending money on Google Ads — the attribution loop is native and worth the complexity. For everything else, simpler tools like Plausible handle 80% of what most teams actually look at,” said Marcus Reed, Go-to-Market Editor at tools8020.

Who uses Google Analytics in 2026?

Google Analytics is the default analytics installation for most of the public internet. E-commerce sites use it for purchase attribution and product performance reporting. Content publishers track pageviews, session duration, and scroll depth. SaaS companies instrument GA4 events to track feature adoption and funnel conversion. Marketing agencies install GA4 on every client site as a baseline data layer before adding platform-specific pixels.

Enterprise users connect GA4 to BigQuery for data warehouse integration, combine it with Salesforce through native connectors, and use GA 360 for properties exceeding 10 million monthly events. The GA 360 tier starts at $150,000 per year and is used by major media companies, retailers, and financial services firms.

When should you skip Google Analytics?

Google Analytics is the wrong choice in three specific situations. Use the alternative below instead.

• You need GDPR compliance without a cookie consent banner. Default GA4 installation is not GDPR compliant for EU users. For privacy-first analytics without consent infrastructure, Plausible or Fathom Analytics are compliant by default and require no consent banner.
• Your team doesn’t have time to learn GA4. GA4’s complexity is real — getting standard reports configured takes 40 to 60 hours for a new user. If your team checks analytics once a week for pageview counts and traffic sources, Plausible’s simpler dashboard produces the same insight in 10 minutes of setup.
• You don’t run Google Ads and don’t need Google integration. The main reason to choose GA4 over simpler alternatives is the Google Ads attribution loop. Without Google Ads, the free price is the only remaining advantage, and simpler privacy-first tools at $9 to $14 per month may be worth that premium.

How much does Google Analytics cost?

Google Analytics 4 is free for up to 10 million events per month per property. Google Analytics 360, the enterprise tier, starts at $150,000 per year. BigQuery export is free from GA4’s side — BigQuery charges standard storage and query fees separately.

Tier	Annual cost	Event limit	Key additions
GA4 Standard	$0	10M events/month	All standard reports, BigQuery export
GA4 360	From $150,000/year	1B events/month	Unsampled reports, SLA, dedicated support
BigQuery storage	$0.02/GB/month	Unlimited	Raw event data, SQL access

Pricing verified at marketingplatform.google.com on 2026-05-24. Google has not announced changes to the GA4 free tier limits.

How we evaluated Google Analytics

This review draws on Marcus Reed’s five years implementing and auditing GA4 and Universal Analytics across B2B SaaS, e-commerce, and content sites, including properties from 5,000 to 5 million monthly sessions. We tested GDPR configurations, BigQuery export setup, and Google Ads attribution accuracy.

See our evaluation methodology for full scoring criteria. For the broader analytics landscape, see the 80/20 of analytics tools and our post on GA4 vs. privacy-first analytics — how to choose in 2026.